A GEOSCIENCEBASED DIGITAL MAPPING APPROACH FOR MSL LANDINGSITE SELECTION - PowerPoint PPT Presentation

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A GEOSCIENCEBASED DIGITAL MAPPING APPROACH FOR MSL LANDINGSITE SELECTION

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A GEOSCIENCE-BASED DIGITAL MAPPING APPROACH FOR MSL LANDING-SITE SELECTION ... Astrogeology Team, U.S. Geological Survey, Flagstaff, AZ 86001 (ktanaka_at_usgs.gov) ... – PowerPoint PPT presentation

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Title: A GEOSCIENCEBASED DIGITAL MAPPING APPROACH FOR MSL LANDINGSITE SELECTION


1
A GEOSCIENCE-BASED DIGITAL MAPPING APPROACH FOR
MSL LANDING-SITE SELECTION
  • K.L. Tanaka, J.A. Skinner, Jr., and T.M. Hare
  • Astrogeology Team, U.S. Geological Survey,
    Flagstaff, AZ 86001 (ktanaka_at_usgs.gov)

A digital tool to help with evaluating and
precisely locating the MSL landing site
2
Meeting the challenges for MSL landing-site
selection and locating
  • Our GIS tool is being developed to
  • Incorporate engineering requirements
  • Address science criteria
  • Access multiple data sets
  • Determine targetable regions
  • Assess characteristics of potential landing
    ellipses
  • Optimize safety, science, roving ability
  • Achieve user friendliness for community use

3
Engineering constraints
  • 60 N to 60S
  • MOLA elevation lt2000 and -2000 m
  • lt3 slope at 2 to 5 km lengths (MOLA altimetry
    we used 5 for 460 m DEM), lt15 at 20 to 40 m
    (MOLA point-to-point altimetry and pulse-spread
    data) and 5 m (hi-res stereo topography or
    photoclinometry)
  • Rock abundance lt10 (rocks lt0.6 m tall Viking)
  • Wind lt30 m/s horizontal and lt10 m/s vertical
    (Rafkin)
  • Radar backscatter cross section gt-20 db at Ka
    band
  • Thermal inertia lt100 J m-2 s-0.5
  • Albedo gt0.25
  • Temperature 145K lt T lt310K, diurnal range
    lt145K

4
MSL science objectives General
  • Potential past or present habitat
  • Access to possible organic material
  • Indicators of climate history, particularly
    during Noachian

5
Potential past or present habitat and access to
possible organic material (i.e., geologic
evidence for liquid water and hydrothermal
activity)
  • Present/recent
  • Gullies
  • Youngest volcanic rocks, including vents, fluvial
    channels, superposed craters
  • Past (Noachian)
  • Valleys
  • Paleolakes
  • Noachian surfaces
  • Oldest volcanic rocks, including vents and
    fluvial features
  • Old, dissected impact craters
  • Mineralogic signatures (phyllosilicates,
    sulfates, hematite)

6
Indicators of climate history, particularly
during Noachian
  • Noachian
  • Layered sediments in Noachian terrain (especially
    associated with fluvial valleys and lake basins)
  • Altered, hydrated minerals
  • Present/recent
  • Gullies mid-latitude mantle mass-wasting,
    periglacial, and glacial features
  • Hydrogen in near surface

7
Science data compiled in map form
  • Geologic epoch (Tanaka et al.)
  • Channels (Carr and Chuang)
  • Gullies (Edgett and Malin Balme et al.)
  • Mantles (Milliken et al.)
  • Craters gt5 km (Barlow)
  • Graben and wrinkle ridges (Scott et al.)
  • TES mineral maps (Bandfield)
  • GRS H2O (Boynton et al.)
  • Crater paleolakes (Cabrol and Grin)
  • Dunes (Titus et al.)
  • Noachian layered deposits (Arabia Terra Tanaka
    et al.)

8
MSL landing-site GIS Model
  • Uses ArcMap model builder software
  • Can be built into a user-friendly Internet GUI
    tool
  • Assisted by JPL and ESRI personnel
  • Accesses many data sets in gridded formats
  • User inputs permitted for most parameters
  • Weighting
  • Buffering
  • Output maps
  • Engineering and landing circle-based
    targetability (circle has to fit)
  • Science and proximity-based quality (based on
    user inputs)
  • Statistics for given landing circles

9
MSL GIS ScienceInterest Model
10
MSL GIS Engineering Model
11
MSL GIS Targetability Model
12
sample MSL GIS science criteria map
13
sample MSL GIS science interest model
14
sample MSL GIS engineering/targetability model
(incomplete data)
15
sample MSL GIS combined science/engineering model
16
Example of Tabulated Science Interest Model Data
for Proposed Sties
17
Future work
  • Update engineering constraints
  • TES rock abundance, slopes, radar backscatter,
    temperature
  • Improve science feature maps
  • More complete mapping
  • More accurate positioning
  • New features
  • GIS model improvements
  • More accurate calculations
  • Web interface for users
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